Lorenza Meneghetti
- Radiology, Nuclear Medicine and Imaging top 10%
- Artificial Intelligence top 10%
- Pulmonary and Respiratory Medicine
- Cancer Research
- Pathology and Forensic Medicine
- Co-authors
- Enrico CassanoAnna Carla BozziniLuca NicosiaFilippo PesapaneAntuono LatronicoGiuseppe RenneMaria PizzamiglioFrancesca Abbate
- Topics
- AI in cancer detection (12 papers)Digital Radiography and Breast Imaging (9 papers)Radiomics and Machine Learning in Medical Imaging (8 papers)
- Journals
- Journal of Clinical OncologySHILAP Revista de lepidopterologíaInternational Journal of Molecular Sciences
- Partner nations
- ItalyUnited Kingdom
In The Last Decade
Lorenza Meneghetti
23 papers receiving 299 citations
Peers
Comparison fields: 5 of 40
- Radiology, Nuclear Medicine and Imaging 178
- Artificial Intelligence 127
- Pulmonary and Respiratory Medicine 97
- Cancer Research 75
- Pathology and Forensic Medicine 71
Countries citing papers authored by Lorenza Meneghetti
This map shows the geographic impact of Lorenza Meneghetti's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Lorenza Meneghetti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lorenza Meneghetti more than expected).
Fields of papers citing papers by Lorenza Meneghetti
This network shows the impact of papers produced by Lorenza Meneghetti. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Lorenza Meneghetti. The network helps show where Lorenza Meneghetti may publish in the future.
Co-authorship network of co-authors of Lorenza Meneghetti
This figure shows the co-authorship network connecting the top 25 collaborators of Lorenza Meneghetti. A scholar is included among the top collaborators of Lorenza Meneghetti based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lorenza Meneghetti. Lorenza Meneghetti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 10 | |
| 4 | 12 | |
| 5 | 9 | |
| 6 | 40 | |
| 7 | 3 | |
| 8 | 36 | |
| 9 | 11 | |
| 10 | 3 | |
| 11 | 3 | |
| 12 | 15 | |
| 13 | 2 | |
| 14 | 14 | |
| 15 | 24 | |
| 16 | 6 | |
| 17 | 17 | |
| 18 | 0 | |
| 19 | 27 | |
| 20 | Analogic versus digital mammographic examination a radiological study of mammary microcalcifications on 52 surgical samples. | 5 |
About Lorenza Meneghetti
Lorenza Meneghetti is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging and Pathology and Forensic Medicine, having authored 26 papers that have together received 303 indexed citations. Recurring topics across this work include AI in cancer detection (12 papers), Digital Radiography and Breast Imaging (9 papers) and Radiomics and Machine Learning in Medical Imaging (8 papers). The work is most often cited by research in Health Informatics (45 citations), Radiology, Nuclear Medicine and Imaging (178 citations) and Cancer Research (75 citations). Lorenza Meneghetti has collaborated with scholars based in Italy and United Kingdom. Frequent co-authors include Enrico Cassano, Anna Carla Bozzini, Luca Nicosia, Filippo Pesapane, Antuono Latronico, Giuseppe Renne, Maria Pizzamiglio, Francesca Abbate, Silvia Penco and Anna Rotili. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and International Journal of Molecular Sciences.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.